历史间谍卫星图像支持生态学和保护研究的潜力。

IF 7.6 1区 生物学 Q1 BIOLOGY
BioScience Pub Date : 2024-02-19 eCollection Date: 2024-03-01 DOI:10.1093/biosci/biae002
Catalina Munteanu, Benjamin M Kraemer, Henry H Hansen, Sofia Miguel, E J Milner-Gulland, Mihai Nita, Igor Ogashawara, Volker C Radeloff, Simone Roverelli, Oleksandra O Shumilova, Ilse Storch, Tobias Kuemmerle
{"title":"历史间谍卫星图像支持生态学和保护研究的潜力。","authors":"Catalina Munteanu, Benjamin M Kraemer, Henry H Hansen, Sofia Miguel, E J Milner-Gulland, Mihai Nita, Igor Ogashawara, Volker C Radeloff, Simone Roverelli, Oleksandra O Shumilova, Ilse Storch, Tobias Kuemmerle","doi":"10.1093/biosci/biae002","DOIUrl":null,"url":null,"abstract":"<p><p>Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species' populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.</p>","PeriodicalId":9003,"journal":{"name":"BioScience","volume":"74 3","pages":"159-168"},"PeriodicalIF":7.6000,"publicationDate":"2024-02-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10977866/pdf/","citationCount":"0","resultStr":"{\"title\":\"The potential of historical spy-satellite imagery to support research in ecology and conservation.\",\"authors\":\"Catalina Munteanu, Benjamin M Kraemer, Henry H Hansen, Sofia Miguel, E J Milner-Gulland, Mihai Nita, Igor Ogashawara, Volker C Radeloff, Simone Roverelli, Oleksandra O Shumilova, Ilse Storch, Tobias Kuemmerle\",\"doi\":\"10.1093/biosci/biae002\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><p>Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species' populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.</p>\",\"PeriodicalId\":9003,\"journal\":{\"name\":\"BioScience\",\"volume\":\"74 3\",\"pages\":\"159-168\"},\"PeriodicalIF\":7.6000,\"publicationDate\":\"2024-02-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10977866/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"BioScience\",\"FirstCategoryId\":\"99\",\"ListUrlMain\":\"https://doi.org/10.1093/biosci/biae002\",\"RegionNum\":1,\"RegionCategory\":\"生物学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/3/1 0:00:00\",\"PubModel\":\"eCollection\",\"JCR\":\"Q1\",\"JCRName\":\"BIOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"BioScience","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/biosci/biae002","RegionNum":1,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/3/1 0:00:00","PubModel":"eCollection","JCR":"Q1","JCRName":"BIOLOGY","Score":null,"Total":0}
引用次数: 0

摘要

遥感数据对于评估生态变化非常重要,但其价值往往因时间覆盖范围有限而受到限制。现代遥感技术无法捕捉到影响环境的重大历史事件,如与殖民历史、第二次世界大战或绿色革命相关的事件。在本文中,我们强调了全球可用的黑白卫星照片的潜力,可将生态和保护评估扩展到 20 世纪 60 年代,并阐明基线移动、时滞反应和遗留效应等生态概念。这些历史卫星照片可用于监测生态系统的范围和结构、物种的数量和栖息地以及人类对环境的压力。尽管这些数据在几十年前就已解密,但它们在生态学和自然保护方面的应用仍然有限。但是,最近在图像处理和分析方面取得的进展现在可以释放这一研究资源。我们鼓励利用这一机会解决重要的生态和保护问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The potential of historical spy-satellite imagery to support research in ecology and conservation.

Remote sensing data are important for assessing ecological change, but their value is often restricted by their limited temporal coverage. Major historical events that affected the environment, such as those associated with colonial history, World War II, or the Green Revolution are not captured by modern remote sensing. In the present article, we highlight the potential of globally available black-and-white satellite photographs to expand ecological and conservation assessments back to the 1960s and to illuminate ecological concepts such as shifting baselines, time-lag responses, and legacy effects. This historical satellite photography can be used to monitor ecosystem extent and structure, species' populations and habitats, and human pressures on the environment. Even though the data were declassified decades ago, their use in ecology and conservation remains limited. But recent advances in image processing and analysis can now unlock this research resource. We encourage the use of this opportunity to address important ecological and conservation questions.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
BioScience
BioScience 生物-生物学
CiteScore
14.10
自引率
2.00%
发文量
109
审稿时长
3 months
期刊介绍: BioScience is a monthly journal that has been in publication since 1964. It provides readers with authoritative and current overviews of biological research. The journal is peer-reviewed and heavily cited, making it a reliable source for researchers, educators, and students. In addition to research articles, BioScience also covers topics such as biology education, public policy, history, and the fundamental principles of the biological sciences. This makes the content accessible to a wide range of readers. The journal includes professionally written feature articles that explore the latest advancements in biology. It also features discussions on professional issues, book reviews, news about the American Institute of Biological Sciences (AIBS), and columns on policy (Washington Watch) and education (Eye on Education).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信